A radio burst detection method based on the Hough transform

Author:

Zuo Shifan123,Chen Xuelei124

Affiliation:

1. Key Laboratory for Computational Astrophysics, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China

2. School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing 100049, China

3. Department of Astronomy and Tsinghua Center for Astrophysics, Tsinghua University, Beijing 100084, China

4. Center of High Energy Physics, Peking University, Beijing 100871, China

Abstract

ABSTRACT We present a simple and fast method for incoherent dedispersion and fast radio burst (FRB) detection based on the Hough transform, which is widely used for feature extraction in image analysis. The Hough transform maps a point in the time–frequency data to a straight line in the parameter space and points on the same dispersed f−2 curve to a bundle of lines all crossing at the same point, thus the curve is transformed to a single point in the parameter space, enabling an easier way for the detection of radio burst. By choosing an appropriate truncation threshold, in a reasonably radio quiet environment, i.e. with radio frequency interferences present but not dominant, the computing speed of the method is very fast. Using simulation data of different noise levels, we studied how the detected peak varies with different truncation thresholds. We also tested the method with some real pulsar and FRB data.

Funder

National Natural Science Foundation of China

Israel Science Foundation

Ministry of Science and Technology, Israel

Chinese Academy of Sciences

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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